<\/p>\n
Bir pandan\u0131n DataFrame s\u00fctununu yazd\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: S\u00fctunu ba\u015fl\u0131ks\u0131z yazd\u0131r<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Ba\u015fl\u0131k i\u00e7eren s\u00fctunu yazd\u0131r\u0131n<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin pratikte a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, s\u00fctun ba\u015fl\u0131\u011f\u0131 olmadan puan<\/strong> s\u00fctunu de\u011ferlerinin nas\u0131l yazd\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n to_string()<\/strong> fonksiyonunu kullanarak s\u00fctun ba\u015fl\u0131\u011f\u0131 ve sat\u0131r indeks de\u011ferleri olmadan yaln\u0131zca nokta<\/strong> s\u00fctun de\u011ferlerini yazd\u0131rabiliriz.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, puan<\/strong> s\u00fctununun de\u011ferlerinin s\u00fctun ba\u015fl\u0131\u011f\u0131yla nas\u0131l yazd\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n S\u00fctun ba\u015fl\u0131\u011f\u0131n\u0131n yan\u0131 s\u0131ra nokta<\/strong> s\u00fctun de\u011ferlerinin de yazd\u0131r\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Not<\/strong> : Bu \u00f6rnek ile \u00f6nceki \u00f6rnek aras\u0131ndaki tek fark, s\u00fctun ad\u0131n\u0131n etraf\u0131nda \u00e7ift parantez kullanmam\u0131zd\u0131r; bu, s\u00fctun ba\u015fl\u0131\u011f\u0131n\u0131 de\u011ferlerle birlikte yazd\u0131rmam\u0131za olanak sa\u011flar.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandas DataFrame’i indeks olmadan nas\u0131l yazd\u0131rabilirim?<\/a> Bir pandan\u0131n DataFrame s\u00fctununu yazd\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: S\u00fctunu ba\u015fl\u0131ks\u0131z yazd\u0131r print (df[‘ my_column ‘]. to_string (index= False )) Y\u00f6ntem 2: Ba\u015fl\u0131k i\u00e7eren s\u00fctunu yazd\u0131r\u0131n print (df[[‘ my_column ‘]]. to_string (index= False )) A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin pratikte a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir: import pandas as pd #createDataFrame df = […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3541","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n print<\/span> (df[' my_column<\/span> ']. to_string<\/span> (index= False<\/span> ))\n<\/strong><\/pre>\n print<\/span> (df[[' my_column<\/span> ']]. to_string<\/span> (index= False<\/span> ))<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29, 32],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4, 5],\n ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12, 8]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n8 32 5 8\n<\/strong><\/pre>\n \u00d6rnek 1: ba\u015fl\u0131ks\u0131z bir s\u00fctun yazd\u0131rma<\/strong><\/span><\/h2>\n
#print the values in the points column without header\n<\/span>print<\/span> (df[' points<\/span> ']. to_string<\/span> (index= False<\/span> ))\n\n25\n12\n15\n14\n19\n23\n25\n29\n<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: ba\u015fl\u0131k i\u00e7eren s\u00fctunu yazd\u0131rma<\/strong><\/span><\/h2>\n
#print the values in the points column with column header\n<\/span>print<\/span> (df[[' points<\/span> ']]. to_string<\/span> (index= False<\/span> ))\n\n points\n 25\n 12\n 15\n 14\n 19\n 23\n 25\n 29\n 32\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandas DataFrame’deki t\u00fcm sat\u0131rlar nas\u0131l g\u00f6r\u00fcnt\u00fclenir?<\/a>
Pandas DataFrame’deki t\u00fcm s\u00fctunlar\u0131n t\u00fcr\u00fc nas\u0131l kontrol edilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"